Some my ideas about cryptocurrency

Section I: Motivation I neither am an expert in economics nor have much understanding in cryptocurrency. I write this post simply because I am curious about the “reason” behind buying cryptocurrency. In the following statements, I am sure there would be many obvious mistakes. If you are also interested in this topic, please feel free

Two-dimensional Proximal Constraints with Group Lasso for Disease Progression Prediction

Abstract Despite the advance in medical research, there are still some diseases that cannot be cured after certain level of severity. For instance, Alzheimer’s disease (AD), arguably the best known neurodegenerative disease, attracts significant attention because of its irreversible disease progression. Enormous capital and efforts have been invested into AD research for the pursuit of

Driving Behavior Prediction, Intel-NTU

Abstract Given a set of driver logs collected from Unity simulator, our task is to predict driver’s aggressive events, including overspending, driving too close, lane switch to left, and lane switch to right in the near future (10 secs). By achieving this goal in real time with the assumption of effective communication between cars, we

SB Hackathon, University of California, Santa Barbara

Abstract During this Hackathon, we are working on an advertisement related machine learning topic: predict the possibility of conversion (click on an advertisement and buy the item) given logs of past users’ behaviors. It is unlike usual collaborative filtering task, where only interactions, ex: ratings, are provided; on the contrary, many contents of users and

Big Data TSMC Semi-conductor Competition: Big Data Analytics for Semiconductor Manufacturing

Abstract Semiconductor is the foundation of modern embedded systems. In this high computation power era, the circuit probing value of semiconductor production is widely concerned. In this series of competition held by TSMC, we have more than 100,000 features by hand. Thus, the feature dimension reduction is a very key procedure for us. On top

College Student Research Scholarship: Real-time classification with missing data given models

Abstract With the explosion amount of information caused by Internet expansion, machine learning is getting more and more popular recently. However, real world application of machine learning theory is still very challenging and hard to achieve. One of the main difficulties stops the direct application is the issue called data loss. No matter data loss